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optimal transport

945 papers

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Also known as

OPT MOT OT AOT UOT

Co-occurring keywords

wasserstein distance (417) domain adaptation (4578) sinkhorn algorithm (63) entropic regularization (53) generative model (2889) unsupervised learning (3255) generative adversarial network (1939) wasserstein barycenter (46) representation learning (6174) probability distribution (265)

Papers

Unbalanced CO-optimal Transport AAAI 2023
Convolution Monge Mapping Normalization for learning on sleep data NIPS 2023
Hierarchical Vector Quantized Transformer for Multi-class Unsupervised Anomaly Detection NIPS 2023
Fast Optimal Transport through Sliced Generalized Wasserstein Geodesics NIPS 2023
Diffusion Schrödinger Bridge Matching NIPS 2023
TOT：Topology-Aware Optimal Transport for Multimodal Hate Detection AAAI 2023
Equivariant Flow Matching with Hybrid Probability Transport for 3D Molecule Generation NIPS 2023
Formulating Discrete Probability Flow Through Optimal Transport NIPS 2023
LICO: Explainable Models with Language-Image COnsistency NIPS 2023
Debias Coarsely, Sample Conditionally: Statistical Downscaling through Optimal Transport and Probabilistic Diffusion Models NIPS 2023
Unbalanced Low-rank Optimal Transport Solvers NIPS 2023
On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective NIPS 2023
A Riemannian Exponential Augmented Lagrangian Method for Computing the Projection Robust Wasserstein Distance NIPS 2023
Importance Sparsification for Sinkhorn Algorithm JMLR 2023
Unifying GANs and Score-Based Diffusion as Generative Particle Models NIPS 2023
S-CLIP: Semi-supervised Vision-Language Learning using Few Specialist Captions NIPS 2023
UnSE: Unsupervised Speech Enhancement Using Optimal Transport INTERSPEECH 2023
Diffusion Bridge Mixture Transports, Schrödinger Bridge Problems and Generative Modeling JMLR 2023
Optimal Transport Model Distributional Robustness NIPS 2023
Enhancing Minority Classes by Mixing: An Adaptative Optimal Transport Approach for Long-tailed Classification NIPS 2023
Accelerating Motion Planning via Optimal Transport NIPS 2023
Dimensionality Reduction and Wasserstein Stability for Kernel Regression JMLR 2023
Robust Representation Learning with Reliable Pseudo-labels Generation via Self-Adaptive Optimal Transport for Short Text Clustering ACL 2023
Bringing regularized optimal transport to lightspeed: a splitting method adapted for GPUs NIPS 2023
Retrieval-Augmented Multiple Instance Learning NIPS 2023